Postdoc: Interpretable ML for Well-Being & Behavior

Universität St.Gallen; Sankt Gallen; Hybrid; CHF 90.000 - 115.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Access to unique datasets

Conference and research funding

International collaborations

Supportive research environment

Mentoring for fellowships (SNSF, MSCA)

Relocation support with hybrid work

Zusammenfassung

The University of St.Gallen invites applications for a Postdoctoral Researcher for the ACTWELL project. You will coordinate research activities with Prof.

Stachl, lead one or more work packages, and process high‑dimensional smartphone log data to study how activities and contexts relate to well‑being over time. The role offers access to unique datasets, international collaborations, conference/funding support, mentoring for prestigious fellowships, relocation assistance and hybrid work, with a

Qualifikationen

• PhD or defence scheduled within this year in a related field.
• Strong applied machine learning skills.
• Fluency in R and/or Python.
• Experience with intensive longitudinal or high-frequency behavioral data.
• Publication record appropriate to career stage.
• Commitment to open, reproducible research.
• Excellent written and spoken English.

Aufgaben

• Coordinate research activities in the ACTWELL project together with Prof. Stachl.
• Lead one or more ACTWELL work packages, especially sequence and dynamics analyses.
• Process and model high-dimensional smartphone log data.
• Develop and validate interpretable ML models linking behavior and context to well-being outcomes.
• Publish as lead and co-author in psychology and related outlets; present at international conferences.

Kenntnisse

Machine learning

R

Python

Data analysis

Longitudinal data

Open science

Communication

Ausbildung

PhD in psychology / computational social science / data science

Jobbeschreibung

The University of St.Gallen invites applications for a Postdoctoral Researcher for the ACTWELL project. You will coordinate research activities with Prof.

Stachl, lead one or more work packages, and process high‑dimensional smartphone log data to study how activities and contexts relate to well‑being over time. The role offers access to unique datasets, international collaborations, conference/funding support, mentoring for prestigious fellowships, relocation assistance and hybrid work, with a